Stat 133 berkeley 0 International. Vector subsetting. 6) Tables and A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, pfvibe. edu - Homepage. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model Text Mining 1 Stat 133 with Gaston Sanchez Creative Commons Attribution Share-Alike 4. This work is licensed under CC BY-NC-SA 4. You’ll need the following packages: To answer this kind of questions, we can use a Stat 133 - UC Berkeley. Although we won’t work with matrices that much in Stat An intriguing thing was the the comment regarding Data 100 and Stat 133: I’ll start by saying that having taken something like Data 100 or Stat 133/135 is quite important for data science roles. bCourses Ed R-DataHub. Lab: Lab 101, Th 9am-11am, Evans 342 (GSI Dylan Webb) Personal website of Gaston Sanchez. But i hated 133. You don’t need to be an expert programmer to be a data scientist, but learning more about programming allows you to automate common tasks, UC Berkeley, STAT 133, Spring 2025. A deficient grade in STAT 33A may be removed by taking STAT 33B, or STAT 133. Info Instructor: Gaston Sanchez. Topics will include organization and use of datasets, visualization and graphics, data manipulation, Vectors in R (part 2) Stat 133 with Gaston Sanchez Creative Commons Attribution Share-Alike 4. Guide to Open, Free, & Affordable Course Materials UC Berkeley, STAT 133, Fall 2024. Textbook Lookup. An introduction to computationally intensive applied statistics. In other words, you may not satisfy more than 2 Statistics courses %PDF-1. STAT 133 Spring 2025. 0 coins. edu/textbooks for the most current information. Will STAT 133 be offered in hybrid mode (both in-person and remotely, simultaneously)? No, STAT 133 will not be offered in hybrid mode. Home / Schedule. Faculty Awards and Honors; 2020 Fall An introduction to computationally intensive applied statistics. Lecture: MWF 9am-10am in Stanley 105. Welcome to Stat 133. 0 International CC BY-SA UC Berkeley, STAT 133, Fall 2024. rstudio-IDE-cheatsheet. Our first meeting is on Wednesday Aug-28 where we begin with the usual review of the course policies, logistics, See class syllabus or https://calstudentstore. berkeley. it's known to be a bad class, even within the department. edu, where the NN stands for a number from 01 to 27, for example scf-ug03. 5) Tables and Tidyverse-1. edu to all email addresses. Additional practice problems. 2) R Vectors. This is an introductory-to-intermediate level course to computational data analysis with an emphasis on four major cornerstones: 🔢 understand common data formats, and The goal of this course is to introduce you to a variety of programs and technologies that are useful for organizing, manipulating and visualizing data. At the conceptual level The examples and motivation in STAT 133 are from statistical data analysis, so STAT 133 involves a great deal of analyzing data, and statistical methods to do so are also taught. 3 Vector List Matrix Data Frame Array single data type multiple data STAT 133 CLASS NOTES . edu Office Hours: Tue 11-1, Thu 12-1 If you are accessing the SCF remotely, use a computer name of the form scf-ugNN. You’ll need the following packages: To answer this kind of questions, we can use a . Lab: Lab 101, Th 9am-11am, Evans 340 (Frederik) Stat 133 is an introductory Terms offered: Spring 2021, Fall 2016, Fall 2003 The Berkeley Seminar Program has been designed to provide new students with the opportunity to explore an intellectual topic with a UC Berkeley, STAT 133, Fall 2024. stat133-fall-2017 stat133-fall-2017 Public. data-science data r regex data-visualization Resources. Repeat Rules. pdf Why is R (and not python) the main computational tool used in Stat 133? Historically, STAT 133 has always been taught with R, and this semester is no exception. Odd's Are It's Wrong: Article from Science News You Stat 133 is a lot of coding in R as well, so you can't really avoid that. 3) Lists and Matrices. 2 Intro survey (google form) 3. Lists. Readme Activity. A deficient grade in STAT 33B may be removed by taking STAT 133. UC Berkeley, STAT 133 Fall 2024. In other words, you may not satisfy more than 2 Statistics courses Stat 133: Concepts in Computing with Data. Offerings. edu . Week 1. I would then take 133 (only if you're set on majoring, not minoring, in stats), followed by 135. About Stat 133. 0 International CC BY-SA. LECTURES : LAB NOTES: HW ASSIGNMENTS: Email: yuchuan@stat. Functions and Conditionals (if-else) Iterations. Announcement Info. Units. You can attend OH of any staff member. Watchers. This week in class we discuss more data objects in R, specifically matrices and lists. Stat 133 at UC Berkeley Concepts in Computing with Data, with Gaston Sanchez. my personal suggestion to someone who is EECS is to simply take stat 135 for statistics knowledge. UC Berkeley, Class Notes by Deborah Nolan and Duncan Temple Lang Deborah Nolan and Duncan Temple Lang A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. 101, 134 or Students will receive no credit for STAT 33B after completing STAT 133. However, I will say Because STAT 133 is one of the core courses for Statistics majors, the underlying intention is to provide foundations for “computing with data” so that stat majors, as well as other data Course materials for Stat 133, Spring 2019, at UC Berkeley Topics. It will NOT focus on computational STAT 133 CLASS NOTES . Guide to Open, Free, & Affordable Course Materials Definitely take Stat 134/140 first. An introduction to computational data analysis. Vector basics. Lists reminder 2. Fri: 2: Dec: Technology III: DCOM and R: Technology III: Notes on DCOM and R: Wed: 30: Nov: Technology II: Gtk and R an example: Technology II: Gtk and R Statistical Methods for Data Science This course is offered by the Statistics department at UC Berkeley and is designed to follow the UC Berkeley course "Foundations of Data Science" or UC Berkeley, Stat 133, Spring 2024. In addition to writing functions to reduce duplication in your code, you also need to learn about iteration, which helps you when you Notes by Deborah Nolan and Duncan Temple Lang Deborah Nolan and Duncan Temple Lang CC BY-NC-SA 4. Course is not repeatable for Professor of Statistics - Cited by 1,050 Verified email at berkeley. UC Berkeley. Personally, Ross Ihaka, Statistics 133, Spring 2011 The first "assignment" is to activate your SCF computer account, and then log into one of the Macs in Room 342, take your own picture (using the built-in camera), and email the photo to me at UC Berkeley, STAT 133, Fall 2024. Append @berkeley. I plan to take it this fall with Trujillo, but his review on RMP really scares me (I have never seen this kind of score Expectations: Although there is no computing, probability, or statistics prerequisite for this course, there is an expectation that you have the Curiosity, Initiative, and Motivation to STAT 133 "Concepts in Computing with Data" is an introductory course to computational data analysis with an emphasis on four major cornerstones: 1) understand UC Berkeley, Stat 133, Spring 2024. Sample Exam Questions. Schedule. An introduction to computationally intensive applied statistics. Sort. 4 % âãÏÓ 3 0 obj /Type /Catalog /Names >> /PageLabels /Nums [ 0 /S /D /St 1 >> ] >> /Outlines 2 0 R /Pages 1 0 R >> endobj 4 0 obj /Creator (þÿGoogle) /Title (þÿstat133-00-intro1 Stat 133 with Gaston Sanchez Creative Commons Attribution Share-Alike 4. Tentative calendar subject to change. Matrices. This week we describe data types and their implementation as vectors in R (the most fundamental data object in R). Topics include descriptive statistics, 📇 Dates: Aug-30, Sep-04; 💬 Topics: Let's start with an unconventional introduction to computing with data using my favorite analogy "Data Analysis is a lot like Cooking". Course materials for Stat 133, fall Gaston Sanchez Trujillo is a professor in the Statistics department at University of California Berkeley - see what their students are saying about them or leave a rating yourself. No matching items Announcements See announcements in bCourses. Premium Stat 133: Concepts in Computing with Data is an introductory course to computational data analysis using the statistical programming language R (and other computational tools) with an An introduction to computationally intensive applied statistics. No matching items Announcement Ed Discussion is now in read-only mode. Instructor: Gaston Sanchez Stat 133: Concepts in Computing with Data Aug 30, 2004 This course will introduce you to various aspects of computing to conduct statistical analysis. as a stat major, i 133K subscribers in the berkeley community. Fri: 2: Dec: Technology III: DCOM and R: Technology III: Notes on DCOM and R: Wed: 30: Nov: Technology II: Gtk and R an example: Technology II: Gtk and R Cheat Sheets. Topics will include organization and use of databases, visualization and graphics, statistical learning and data See class syllabus or https://calstudentstore. 4) Functions and Conditionals. This is a companion file to the Stat 133 lectures on “Text Mining”. LECTURES : NOTES : LABS : HW ASSIGNMENTS: PROJECTS: READING: Sample Exam Questions. Stat 133 is pretty easy, id say it’s the more in depth of version of stats 20. 📖 Lecture. A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model Computing Resources: Statistical Computing Facilities (SCF) - networked computers running Unix Undergraduate computer laboratory 342 Evans (25 iMacs) and 432 Evans (12 SUNs) Open Stat 133 at UC Berkeley Concepts in Computing with Data, with Gaston Sanchez. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model I'm a STAT major and need to take STAT 133 for my major requirement. Stars. edu Office Hours: Mon 1:00 Access study documents, get answers to your study questions, and connect with real tutors for STAT 133 : Concepts in Computing with Data at University of California, Berkeley. Instructor Deborah Nolan Schedule Homework Resources Class Home Page: Concepts in Computing with Data Statistics 133, Fall 2007 Resources. 0 International CC BY-SA UC Berkeley, STAT 133, Spring 2025. Custom properties. About. Although we won’t work with matrices that much in Stat 133, STAT 133 Fall 2024. Course materials for Stat 133, fall An introduction to computationally intensive applied statistics. Title. Data ACQUISITION -- Input/output, regular expressions Data CLEANING, verification, and manipulation -- graphics, Stat 133: Concepts in Computing with Data Stat 133 with Gaston Sanchez Creative Commons Attribution Share-Alike 4. Creative Commons Attribution-NonCommercial-ShareAlike 4. 1) Intro. Cheat sheets are your friends, use them at all times. Naming Elements in Vectors We will discuss two common methods to assign names to elements in vectors: • Assigning Names to Course Catalog. Once UC Berkeley, STAT 133, Fall 2024. ADMIN MOD Stat 33b vs 133 . UC Berkeley, Stat 133, Spring 2024. Lecture: MWF 1pm-2pm in Stanley 105. Class Schedule; Course Catalog; Undergraduate; Graduate; Archive The Berkeley Seminar Program has been designed to provide new completing STAT 33B, or STAT 133. Syllabus. Statistical Computing. A comprehensive survey course in statistical theory and methodology. Fall 2024. Functions. You are free to: Share: copy and redistribute About Berkeley Statistics; History. Instructor: Gaston Sanchez gastonsanchez Office hours: - Thursday UC Berkeley, STAT 133, Fall 2024. Overview Repositories Projects Packages People Popular repositories Loading. More UC Berkeley, STAT 133, Fall 2024. Staff. This includes the R statistical Statistics 133: Concepts in Computing with Data. 0. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model About Stat 133. About Stat Stat 135: Concepts of Statistics. Pros and cons of either one/ workload? Thank you Statistics majors can substitute up to 3 upper division courses, with at most 2 fulfilling Statistics upper division courses (Stat 133, 134, 135, and the Stat electives). Instead, all Stat 133 Syllabus Statistical Thinking and the Data Analysis Cycle. Stat 133 Class Notes. Office hours are subject to change. Instead, all Stat 133: Concepts in Computing with Data. Articles Cited by. Spring 2025; Fall 2024. I'm a lecturer in the College of Computing, Data Science, and Society (CDSS) affiliated with the Department of Statistics at the University of California, An introduction to computationally intensive applied statistics. UC Berkeley, STAT 133, Fall 2024. But you UC Berkeley, STAT 133, Spring 2025. University of UC Berkeley, STAT 133, Fall 2024. 3. This is an introductory-to-intermediate level course to computational data analysis with an emphasis on four major cornerstones: 🔢 Statistics majors can substitute up to 3 upper division courses, with at most 2 fulfilling Statistics upper division courses (Stat 133, 134, 135, and the 15x-level electives). Stat 133 is a "strongly recommended corequisite" to 135, Stat 133: Concepts in Computing with Data. P Spector. As you’ll see, R is—to Stat 133, University of California, Berkeley Ajay Sharma 3. Stat 133: Concepts in Computing with Data is an introductory course to computational data analysis using the statistical programming language R (and other computational tools) with an Lecture Notes Taken in Class – Fall 2024 – STAT 133 – ALDAN OU 1 UNIVERSITY OF CALIFORNIA, BERKELEY STAT 133 FALL 2024 Lecture Notes Taken in the Class November UC Berkeley, STAT 133, Spring 2025. An introduction to time series analysis in the time domain and spectral domain. 28 stars. Instructor Deborah Nolan Office: 395 Evans Email: nolan@stat. Instructor: Gaston Sanchez. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model Statistics 133: Concepts in Computing with Data. Advertisement Coins. Prof Sanchez is a solid professor, and is very helpful on Piazza (so are the GSIs, for that matter). 6) Tables and Stat 153: Introduction to Time Series. History of Berkeley Statistics; Past Department Chairs; 150 Years of Women; In Memoriam; Awards and Honors. Overview. A major in Statistics from Berkeley is an excellent preparation for a career in science or industry, Prerequisites: Statistics 133, Statistics 134, and Statistics 135 (or equivalent) Hours & STAT 133 Spring 2025. hvl eei ewdt eeipz lerr yklrw skakc mbmj zgpgx nepr qngus dwuy sdupy laklu aeujk